Estimate significance of importance metrics
for a Random Forest model by permuting the response
variable. Produces null distribution of importance
metrics for each predictor variable and p-value of
observed. Provides summary and visualization functions for 'randomForest'
results.
| Version: |
2.1.6 |
| Depends: |
R (≥ 3.2.0), randomForest |
| Imports: |
abind, dplyr, ggplot2, grDevices, gridExtra, magrittr, parallel, plyr, reshape2, rlang, scales, stats, swfscMisc (≥
1.1.1), tibble, tidyr, utils, viridis |
| Published: |
2018-07-07 |
| Author: |
Eric Archer [aut, cre] |
| Maintainer: |
Eric Archer <eric.archer at noaa.gov> |
| BugReports: |
https://github.com/EricArcher/rfPermute/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/EricArcher/rfPermute |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
rfPermute results |